Chris Paxton
Title
Cited by
Cited by
Year
CoSTAR: Instructing collaborative robots with behavior trees and vision
C Paxton, A Hundt, F Jonathan, K Guerin, GD Hager
2017 IEEE international conference on robotics and automation (ICRA), 564-571, 2017
1112017
Combining neural networks and tree search for task and motion planning in challenging environments
C Paxton, V Raman, GD Hager, M Kobilarov
Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on, 2017
1042017
Developing predictive models using electronic medical records: challenges and pitfalls
C Paxton, A Niculescu-Mizil, S Saria
AMIA Annual Symposium Proceedings 2013, 1109, 2013
1022013
A framework for end-user instruction of a robot assistant for manufacturing
KR Guerin, C Lea, C Paxton, GD Hager
2015 IEEE international conference on robotics and automation (ICRA), 6167-6174, 2015
912015
6-dof grasping for target-driven object manipulation in clutter
A Murali, A Mousavian, C Eppner, C Paxton, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 6232-6238, 2020
742020
Visual robot task planning
C Paxton, Y Barnoy, K Katyal, R Arora, GD Hager
2019 international conference on robotics and automation (ICRA), 8832-8838, 2019
432019
An incremental approach to learning generalizable robot tasks from human demonstration
C Paxton, GD Hager, L Bascetta
2015 IEEE international conference on robotics and automation (ICRA), 5616-5621, 2015
432015
Online replanning in belief space for partially observable task and motion problems
CR Garrett, C Paxton, T Lozano-Pérez, LP Kaelbling, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 5678-5684, 2020
332020
Representing robot task plans as robust logical-dynamical systems
C Paxton, N Ratliff, C Eppner, D Fox
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
282019
Prospection: Interpretable Plans From Language By Predicting the Future
C Paxton, Y Bisk, J Thomason, A Byravan, D Fox
2019 International Conference on Robotics and Automation (ICRA), 2019
272019
Uncertainty-aware occupancy map prediction using generative networks for robot navigation
K Katyal, K Popek, C Paxton, P Burlina, GD Hager
2019 International Conference on Robotics and Automation (ICRA), 5453-5459, 2019
252019
Analysis of the structure of surgical activity for a suturing and knot-tying task
SS Vedula, AO Malpani, L Tao, G Chen, Y Gao, P Poddar, N Ahmidi, ...
PloS one 11 (3), e0149174, 2016
242016
Do what I want, not what I did: Imitation of skills by planning sequences of actions
C Paxton, F Jonathan, M Kobilarov, GD Hager
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
222016
Conditional driving from natural language instructions
J Roh, C Paxton, A Pronobis, A Farhadi, D Fox
Conference on Robot Learning, 540-551, 2020
212020
Evaluating methods for end-user creation of robot task plans
C Paxton, F Jonathan, A Hundt, B Mutlu, GD Hager
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
212018
“Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
A Hundt, B Killeen, N Greene, H Wu, H Kwon, C Paxton, GD Hager
IEEE Robotics and Automation Letters 5 (4), 6724-6731, 2020
192020
Human grasp classification for reactive human-to-robot handovers
W Yang, C Paxton, M Cakmak, D Fox
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
192020
Semi-autonomous telerobotic assembly over high-latency networks
J Bohren, C Paxton, R Howarth, GD Hager, LL Whitcomb
2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2016
192016
Trajectory generation using temporal logic and tree search
M Kobilarov, T Caldwell, V Raman, C Paxton, JMP Kiiski, JL Askeland, ...
US Patent 10,133,275, 2018
182018
Transferable task execution from pixels through deep planning domain learning
K Kase, C Paxton, H Mazhar, T Ogata, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 10459 …, 2020
142020
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